Asset Details
Do you wish to reserve the book?
Recognition of Blast Furnace Gas Flow Center Distribution Based on Infrared Image Processing
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Recognition of Blast Furnace Gas Flow Center Distribution Based on Infrared Image Processing
Do you wish to request the book?
Recognition of Blast Furnace Gas Flow Center Distribution Based on Infrared Image Processing
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Recognition of Blast Furnace Gas Flow Center Distribution Based on Infrared Image Processing
2016
Overview
To address the problems about the difficulty in accurate recognition of distribution features of gas flow center at blast furnace throat and determine the relationship between gas flow center distribution and gas utilization rate, a method for recognizing distribution features of blast furnace gas flow center was proposed based on infrared image processing, and distribution features of blast furnace gas flow center and corresponding gas utilization rates were categorized by using fuzzy C-means clustering and statistical methods. A concept of gas flow center offset was introduced. The results showed that, when the percentage of gas flow center without offset exceeded 85%, the average blast furnace gas utilization rate was as high as 41%; when the percentage of gas flow center without offset exceeded 50%, the gas utilization rate was primarily the center gas utilization rate, and exhibited a positive correlation with no center offset degree; when the percentage of gas flow center without offset was below 50% but the sum of the percentage of gas flow center without offset and that of gas flow center with small offset exceeded 86%, the gas utilization rate depended on both the center and the edges, and was primarily the edge gas utilization rate. The method proposed was able to accurately and effectively recognize gas flow center distribution state and the relationship between it and gas utilization rate, providing evidence in favor of on-line blast furnace control.
Publisher
Elsevier Ltd,Springer Singapore,Springer Nature B.V
Subject
